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The Power BI August 2025 Feature Summary introduces major updates in Copilot and AI, reporting, and modeling. Highlights include Copilot integration for SharePoint Online, measure description automation, and advanced data modeling features.
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Version number: v:2.146.705.0
Date published: 08/11/25
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To enable this feature, simply check the ‘Enable Copilot’ option when setting up your embedded report.
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Confirm Copilot is enabled for your organization, and that your workspace is backed by Power BI Premium or Fabric capacity.
Refer to the documentation to learn more about Copilot requirements and for more details on enabling Copilot in embedded reports for SharePoint.
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To learn more, refer to the Use Copilot to create measure descriptions - Power BI | Microsoft Learn documentation.
This enables more in-depth conversations in the standalone experience by removing the need for users to have the original report open just to check filters or understand what questions they can ask, elevating the way users interact with their data through chat.
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For full details on supported and unsupported filter types can be found in the Standalone Copilot experience in Power BI (preview) documentation.
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Read up on how licensing works per-user or per-capacity and how licensing works for business users to learn more about how Pro licenses work for Power BI items like org apps.
For more details on the subject, reference the Edit data models in the Power BI service (preview) documentation.
Please continue to submit your feedback directly in the comments of this blog post or in the feedback forum.
Semantic model named expressions can now be scripted to TMDL view. Named expressions have several use cases, with Power Query parameters being among the most common. This update allows users to script a semantic model parameter as TMDL, modify it, and apply the change back to the model.
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Script object sections
Previously, scripting all measures in TMDL view required manual selection. Now, users can drag sections—measures, tables, or columns—from the model explorer into the TMDL code editor to script all objects within the section.
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Select the tables you want to include and confirm your choice.
This is in addition to being able to choose Direct Lake tables in your Power BI solution from Lakehouses, Warehouses, Fabric SQL databases, and other Mirrored databases in Microsoft Fabric.
Learn more about Direct Lake when using Power BI Desktop at Learn about editing semantic models in Direct Lake in Power BI Desktop (Preview).
Semantic Model Refresh Templates in Power BI enable users to orchestrate semantic model refreshes using Fabric Data Pipelines, providing a low code, streamlined way to visualize and sequence refresh activities for common scenarios.
You can access these templates by selecting ‘Create advanced refresh’ from the refresh dropdown on the semantic model details page in your Microsoft Fabric workspace.
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This opens the template gallery, which includes several common refresh scenarios such as event-driven refreshes, refreshing a semantic model after a dataflow runs, scheduled refreshes, and sequencing multiple semantic model refreshes.
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The template gallery can be re-opened in the pipeline ribbon in the Home tab with the button called 'Use a template.'
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When you click on a template, you’ll have the option to start a guided tour that walks you through the steps to set up the semantic model refresh. In this example, we selected Refresh Semantic Model after Dataflow.
You’ll be prompted to configure the dataflow and workspace you want refreshed.
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For the semantic model refresh settings, you will be guided to select the connection, workspace and semantic model you want refreshed. You can choose specific tables or partitions for incremental refresh scenarios where you might only want to update the changed tables data rather than the entire model.
You can add additional activities such as sending a Teams message after successful execution.
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You can also set up a scheduled refresh to define when and how often these refreshes occur, with flexible options such as minute-by-minute, hourly, monthly, or quarterly intervals.
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When you’re done, click Save and Run to run the data pipeline.
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Learn more about fabric data pipelines in the templates and semantic model refresh activity documentation.
With this release, the Impala connector and its accompanying tests have been enhanced to use the new SQL Generator format alongside the ADBC driver. This transition streamlines the connection process and lays the groundwork for improved performance, security, and maintainability for Impala integrations.
Learn more about this new connector, including configuration and new capabilities, please refer Impala connector and Power BI documentation.
This update enables users accessing PostgreSQL Flexible Server through the PBI connector to authenticate using AAD tokens, in addition to traditional PostgreSQL native user/password authentication. AAD support is implemented by introducing an AAD wrapper on the existing PBI connector.
This enhancement addresses direct customer requests and aligns with our commitment to improved security and flexibility for organizations leveraging PostgreSQL Flexible Server.
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Learn more about this feature, including configuration instructions, from the PostgreSQL connector and Power BI documentation.
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Starting this month, when saving a Live Connect report as a PBIP, the definition.pbir file now includes only a simplified connectionString that contains the XMLA endpoint and semantic model ID.
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Learn more in our definition.pbir documentation.
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The Powerviz Date Picker offers a modern calendar view, Presets, Pop-up mode, Default Selection, Themes, and more, making it a must-have date slicer for Power BI reports. Its rich formatting options help with brand consistency and a seamless UI experience.
Key Features:
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The "Download Button by JTA" is a custom visual designed specifically for Power BI users, empowering them to export large datasets effortlessly.
Key Features
Enhanced Data Export: Download from 300,000 rows and 15 columns of data in CSV format
Customizable Interface: Tailor the visual interface to match the reporting style
Constraints
The custom visual leverages the browser’s cache memory. It works by fetching data in chunks of 30k rows, storing each chunk in the browser's cache until the entire dataset is compiled for download. This incremental approach requires the use of browser memory to ensure seamless processing. Unfortunately, this means that the visual does not operate as intended in Power BI Desktop due to technical constraints and security restrictions within that environment and you must use the Power BI Service.
For the very same reason, there's a possibility that it may encounter limitations or restrictions in certain browsers. Each browser has its own set of security measures and permissions that can affect how our visual operates.
Resources
If you liked what you saw, you can try it for yourself and find more information .
Also, if you want to download it, you can find the visual package on the AppSource.
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Instantly Compare multi-year trends across business units, products, or regions.
The Compound Annual Growth Rate (CAGR) is a critical metric for visualizing growth trends in financial analysis, strategic planning, and performance comparison.
Now available in Zebra BI Charts for Power BI, CAGR arrows make it easier than ever to communicate multi-year trends directly within your reports. They are especially useful in dashboards that track long-term results, helping users highlight growth patterns and shifts over time.
When used in small multiples, CAGR arrows allow immediate comparison of performance across regions, product lines, or business units — all while maintaining a shared Y-axis for IBCS-compliant reporting.
Each CAGR label includes a color-coded action dot — green for positive growth, red for negative — with the size scaled to reflect magnitude, offering an intuitive visual cue for trend strength. To simplify reporting even further, Zebra BI Charts automatically calculates the CAGR based on your underlying data.
CAGR provides a smoothed view of performance over time, helping teams refine growth targets, align KPIs, and deliver executive-ready insights with clarity and impact.
For more information, please refer to Introducing CAGR arrows in Zebra BI Charts.
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We hope the information provided in this update is useful. If you installed Power BI Desktop from the Microsoft Store, please leave us a review.
As always, keep voting on Ideas to help us determine what to build next. We are looking forward to hearing from you!
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